User:Rob Smith

Contact Info

Rob Smith

• Rob Smith, Brigham Young University, Department of Computer Science, Provo, UT 84602
• Email me through OpenWetWare

I work in the Machine Learning Lab in the Computer Science Department at Brigham Young University. I am also an honorary member of the Prince lab at BYU, giving algorithmic insight on quantitation problems.

Education

• 2015 (expected), PhD, BYU, CS with emphasis in Bioinformatics and Computational Biology
• 2012, MS, BYU, CS
• 2007, BS, University of MD, Baltimore County, CS

Research interests

My research focuses on computational mass spectrometry, a term I coined to refer to the algorithmic aspects of interpreting mass spectrometry data. Currently my focus is on algorithms for high throughput:

1. Direct infusion (shotgun) lipidomics quantitation
2. LC/MS lipidomics quantitation
3. Proteomics quantitation
4. Lipidomics / proteomics registration
5. Lipidomics / proteomics case/control differentiation
6. Lipid labelling

Publications

1. Smith, R., Ventura, D., and Prince, J.T.: Label-Free, ID-Free, Parameter-Free Peak Picking and Feature Selection for LC-MS Data, 61st Annual Conference of the American Society for Mass Spectrometry, Minneapolis, MN, June 2013
2. Coutu, B.G., Alexander, K.L., Anthonymuthu, T.S., Smith, R., Hansen, M. and Prince, J.T.: Robust Lipid Fragmentation Modelling to Identify Global Lipid Changes During Epithelial-Mesenchymal Transition (EMT), 61st Annual Conference of the American Society for Mass Spectrometry, Minneapolis, MN, June 2013
3. Smith, R., Ventura, D., and Prince, J.T.: Novel Algorithms and the Benefits of Comparative Validation, Bioinformatics, 2013
4. Smith, R., and Ventura, D.: A General Model for Continuous Noninvasive Pulmonary Artery Pressure Estimation, Computers in Biology and Medicine, 2013
5. Smith, R., Williamson, R., Ventura, D., and Prince, J.T.: Rubabel: Wrapping OpenBabel with Ruby, Journal of Cheminformatics, 2013
6. Smith, R., Dennis, A., and Ventura, D.: Automatic Composition from Non-musical Inspiration Sources, Proceedings of the Third International Conference on Computational Creativity, 160–164, 2012.
7. Smith, R.: A General Model for Continuous Noninvasive Pulmonary Artery Pressure Estimation, MS Thesis, Brigham Young University, 2011